Hybrid quantum-classical machine learning for generative chemistry and drug design

Deep generative chemistry models emerge as powerful tools to expedite drug discovery. However, the immense size and complexity of the structural space of all possible drug-like molecules pose significant obstacles, which could be overcome with hybrid architectures combining quantum computers with de...

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Detalles Bibliográficos
Autores principales: Gircha, A. I., Boev, A. S., Avchaciov, K., Fedichev, P. O., Fedorov, A. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201520/
https://www.ncbi.nlm.nih.gov/pubmed/37217521
http://dx.doi.org/10.1038/s41598-023-32703-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201520/
https://www.ncbi.nlm.nih.gov/pubmed/37217521
http://dx.doi.org/10.1038/s41598-023-32703-4

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